the multi-silicon inference platform for video generation
London & SF
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In case you missed it, we teamed up with @tenstorrent and delivered realtime video. Video generated faster than it takes to play it!
If you want to test it, sign up at the link the comments.
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H3 from @MiniMax_AI is live on Prodia! 🎬
Independently ranked on Artificial Analysis: #1 for video editing with audio, #2 for text-to-video with audio, #2 for image-to-video.
What everyone's shipping with it:
▸ On-screen text that stays stable across every frame — kinetic type moves instead of warping
▸ Audio + picture generated in one pass, in stereo. Lip sync holds across a full sequence, not just one beat
▸ Native audio in 11 languages, voiceover and on-screen text in the same generation
▸ Higher share of usable takes per generation → fewer rerolls, lower spend
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I need a break from AI...
switching off from tech... by painting generated art (with Prodia) to paint by tokens? what?
London AI teaming up with @prodialabs & @UseCorgi
to have a chill Sunday afternoon painting in Corgi Cafe London first collab!
Whos coming?
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We're super excited to offer P-Image-Ideogram on Prodia! Link in the comments.
Speeds as low as 0.4s & pricing as low as $0.003. Try it out now!
P-Image-Ideogram dominate the speed-quality and price-quality Pareto frontiers for image generation. It is the result of a unique collaboration with @ideogram_ai.
- Four modes (Very low, low, medium, high) for 1K-2K image generation.
- Optimal quality-efficiency with 0.4s-7.5s latency, and $0.003-$0.03 price.
- Structured JSON control & exact color control.
Available via our inference partners @Replicate @inference_sh @scenario_gg @wavespeed_ai @wiroai @magnific @prodialabs @togethercompute @runware @lovart_ai @ComfyUI @LeonardoAi @kittldesign @GammaApp @Picsart @TellersAI @Cloudflare Validated by our benchmark partners @DesignArena, @datapointai, @RapidataAI
👉 Try it on the playground for free: buff.ly/QmnA5P5
🧩 Sign in on the API: buff.ly/0iaZy8g
📚 Model page: buff.ly/XRaKSb0
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Same 4-model video grid, different prompt. Wan 2.2, P-Video, Seedance Lite, Seedance Pro Turbo.
Variance between models on identical prompts is why multi-model access matters in production.
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FLUX.2 [dev] vs. FLUX.2 [klein] 9B
4.5s at $12/1K vs 0.9s at $6/1K. 5x faster, half the price.
For product catalogs and e-commerce thumbnails, that math compounds fast.
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FLUX.2 [klein] 4B. 100ms. Near-instant.
4B parameters doing work that used to take much larger models seconds. Reflections, neon glow, atmospheric depth. Fraction of the compute.
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Same prompt, 4 models. $3 to $80 per 1K gens.
At 100K gens/month: klein 4B costs $300. Nano Banana 2 costs $8,000. Same prompt, massive cost gap.
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FLUX.2 [flex] vs Nano Banana 2
12.7s at $60/1K vs 24.5s at $80/1K. Open source running 2x faster, 25% cheaper.
The quality speaks for itself.
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Product shot: Recraft V4 vs Seedream 5 Lite.
Material rendering, lighting, composition. Both handle it, but reflections and textures differ noticeably.
At e-commerce scale, these nuances show up in conversions.
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4 video models, 1 prompt.
Wan 2.2, P-Video, Seedance Lite, Seedance Pro Turbo. All different results.
Motion, consistency, speed, cost. Each has a sweet spot. Run them side by side to find yours.
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Wan 2.2 Lightning generating video.
Open source video gen caught up faster than expected. Solid motion quality at a fraction of closed-source pricing.
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Recraft V4 on text rendering. ~12s, $40/1K.
If your product needs readable text in generated images (menus, signs, packaging), this is where Recraft shines.
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FLUX.2 [flex] vs Nano Banana 2, final round.
Across all five prompts: flex stays ahead on speed and cost. Optimized open source inference is pulling ahead.
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Recraft V4 vs Seedream 5 Lite on a portrait.
~12s/$40 per 1K vs ~19s/$35 per 1K. Different approaches, different results. For user-facing portraits, these differences matter.
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Prodia retweeted
@prodialabs - the fastest image and video generation API, one call to the best models
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Veo 3 Fast in action.
Strong motion coherence from Google's video model. Closed-source pricing, but the quality shows what large training budgets produce.
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